Support vector machine (SVM) active learning is one popular and successful technique for
relevance feedback in content-based image retrieval (CBIR). Despite the success …

In this paper we present a new algorithm for the solution of nonlinear complementarity
problems. The algorithm is based on a semismooth equation reformulation of the …

This paper presents a multiperiod supply chain with freight carriers network model. In this
model manufacturers, retailers, and carriers maximize the net present value (NPV) of their …

The paper deals with complementarity problems CP (F), where the underlying function F is
assumed to be locally Lipschitzian. Based on a special equivalent reformulation of CP (F) as …

We investigate the properties of a new merit function which allows us to reduce a nonlinear
complementarity problem to an unconstrained global minimization one. Assuming that the …

Stochastic approximation methods have been extensively studied in the literature for solving
systems of stochastic equations and stochastic optimization problems where function values …

This paper presents a sequential quadratic programming algorithm for computing a
stationary point of a mathematical program with linear complementarity constraints. The …

A popular approach to solving the nonlinear complementarity problem (NCP) is to
reformulate it as the global minimization of a certain merit function over ℝ n. A popular …

Based on Fischer's function, a new nonsmooth equations approach is presented for solving
nonlinear complementarity problems. Under some suitable assumptions, a local and Q …

This paper provides a means for comparing various computercodes for solving large scale
mixed complementarity problems. Wediscuss inadequacies in how solvers are currently …